Emerging technologies for smart cities' transportation: geo-information, data analytics and machine learning approaches

KLM Ang, JKP Seng, E Ngharamike… - … International Journal of …, 2022 - mdpi.com
With the recent increase in urban drift, which has led to an unprecedented surge in urban
population, the smart city (SC) transportation industry faces a myriad of challenges …

Analysis of Spatial‐Temporal Characteristics of Operations in Public Transport Networks Based on Multisource Data

H Zhang, Y Liu, B Shi, J Jia, W Wang… - Journal of Advanced …, 2021 - Wiley Online Library
Operational efficiency and stability are two critical aspects to measure bus systems.
Influenced by many stochastic factors, buses always suffer from delay and bunching …

Inferring urban polycentricity from the variability in human mobility patterns

C Cabrera-Arnau, C Zhong, M Batty, R Silva… - Scientific Reports, 2023 - nature.com
The polycentric city model has gained popularity in spatial planning policy, since it is
believed to overcome some of the problems often present in monocentric metropolises …

Detecting anomalous commuting patterns: Mismatch between urban land attractiveness and commuting activities

Z Tong, Z Zhang, R An, Y Liu, H Chen, J Xu… - Journal of Transport …, 2024 - Elsevier
Rapid urbanization has dramatically changed the urban spatial structures, causing a
mismatch between residents' commuting activities and the optimal status of the current …

Unveiling transit mobility structure towards sustainable cities: An integrated graph embedding approach

T Zhang, X Duan, Y Li - Sustainable Cities and Society, 2021 - Elsevier
Detecting urban mobility structure, ie, segmenting urban areas into disjoint clusters with
similar mobility patterns, can facilitate our understanding of how a city is organized and how …

Mapping of functional areas in Spain based on mobile phone data during different phases of the COVID-19 pandemic

J Osorio Arjona, JS Ruíz Santacruz… - Journal of …, 2023 - Taylor & Francis
Mobility functional areas are tools based on human mobility that can be useful for spatial
and transport planning in delicate situations such as the COVID-19 pandemic. In this work …

Methodological framework for understanding urban people flow from a complex network perspective

T Lobsang, F Zhen, S Zhang, G Xi… - Journal of Urban Planning …, 2021 - ascelibrary.org
Cities are connected by their functions and so are the spaces within cities. With the
emergence of multisource data containing abundant urban residents' mobile information …

Exploring dynamic urban mobility patterns from traffic flow data using community detection

J Liu, Y Yuan - Annals of GIS, 2024 - Taylor & Francis
The rise of data from smart city services and the emergence of advanced algorithms have
emphasized the need for a deeper understanding of the underlying patterns of urban …

Integrating bipartite network modelling and overlapping community detection: A new method to evaluate transit line coordination

JY Li, J Teng, H Wang - Physica A: Statistical Mechanics and its …, 2023 - Elsevier
This paper introduces a novel approach, integrating bipartite network modelling and
overlapping community detection, to evaluate the coordination of transit lines in public …

Research on Road Network Partitioning Considering the Coupling of Network Connectivity and Traffic Attributes

Y Ma, M Xu, X Qin, Y Zeng, L Zeng - ISPRS International Journal of Geo …, 2023 - mdpi.com
The urban road network is a large and complex system characterized by significant
heterogeneity arising from different spatial structures and traffic demands. To facilitate …